数据挖掘分类算法在信号分类中的应用

Application of Data Mining Classification Algorithm in Classification and Recognition of Signals

信号是消息的载体,现代社会的信号种类繁多,分类复杂,对信号分类结果的要求也越来越高,用传统的方法对信号进行分类已经不再适用。数据挖掘(Data mining)是从大量数据中挖掘有趣模式和知识的过程,适合对大量的信号进行分类,为人们的工作提供便利。本文简述了数据挖掘分类算法在雷达信号、心电信号、音频信号和通信信号四种信号分类识别中的应用,介绍了信号分类的过程及其优缺点,找出信号分类识别的发展方向,为未来信号的分类识别研究奠定基础。

Signal is the carrier of message, it is complextoclassificationmany kinds of signals in the modern society, using the traditional method to classify the signal is no longer applicable. Data Mining is the process of mining interesting patterns and knowledge from a large number of data, suitable to classification of a large number of signals andprovide convenience for people's work. This paper describes the advantages of using the data mining classification algorithms in radar signals, ECG signals, audio signals and communication signals, also identify the development direction of the signal classification and recognition, lay the foundation for future research classification signals.